Monte Carlo Sumo-Based Modelling for Accident Prevention System

S.Veerapandi

doi:https://doi.org/10.59232/MS-V1I1P104

Research Article | Open Access | Download Full Text

Volume 1 | Issue 1 | Year 2023 | Article Id: MS-V1I1P104 DOI: https://doi.org/10.59232/MS-V1I1P104

Monte Carlo Sumo-Based Modelling for Accident Prevention System

S.Veerapandi

Received	Revised	Accepted	Published
30 Jun 2023	29 Jul 2023	08 Sep 2023	03 Oct 2023

Citation

S.Veerapandi. “Monte Carlo Sumo-Based Modelling for Accident Prevention System.” DS Journal of Modeling and Simulation, vol. 1, no. 1, pp. 33-40, 2023.

Abstract

Accident prevention encompasses all actions done to preserve lives, limit property damage, avoid injury, reduce treatment and compensation costs, diminish the severity of harm, and avoid loss of productive time and morale. Road rage is a serious traffic safety issue since it can cause irrational conduct and needless risk-taking. Also, excessive acceleration and braking as a result of bad traffic flow increase fuel consumption. A novel MCS-MAPS protocol is described in this paper that overcomes these challenges. Based on safety considerations or vehicle traffic, this paper examines the effect autonomous vehicles will have on heterogeneous traffic. Accident prevention systems are used in this study to characterize the presence of many vehicle kinds; both manually operated and autonomous. The method aims to keep vehicles lowering death out of highway traffic accidents and injury rates. MATLAB is used to evaluate the accident data set and extract all essential parameters. According to these findings, automated vehicles have the ability to increase traffic flow by accelerating the mean road speed, which will shorten travel times while also reducing the frequency of accidents. Nonetheless, the average speed must be kept in check, or conflicts will rise drastically. A high vehicle flow rate causes conflicts to occur more frequently as penetration rates rise.

Keywords

Monte Carlo Sumo-based Modelling for Accident Prevention System [MCS-MAPS], Mixed traffic environment, Vehicle flow rate, Autonomous vehicles, Road Accident Sampling System of India.

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